Affiliation:
1. Department of Computer Science, ETSE—Universitat de Valencia, 46100 Burjassot, Spain
2. Research Group in Advanced Telecommunications (GRITA), UCAM Universidad Católica de Murcia, 30107 Guadalupe, Spain
Abstract
Next-generation IoT systems will allow sustainable performance in long-term monitoring systems. This sustainability concept applies to soundscape description, as it allows monitoring in urban environments. In this work, the implementation of psycho-acoustic annoyance models in a 5G-enabled IoT system is proposed, applying two edge-computing approaches. A modified Zwicker’s model is adopted in this research, introducing a term that takes into account the tonal component of the captured sound. These implementations have been validated in a measurement campaign where several IoT devices have been deployed to evaluate different sound environments of a university campus. Then, the analysis of the sound-quality metrics is conducted in a different location, showing that if tonality is present in a noisy environment, it results in greater subjective annoyance. Moreover, the Just-Noticeable Difference of these results is derived from Zwicker’s psycho-acoustic annoyance to establish a limitation for this metric.
Funder
Ministerio de Innovación y Economía
FEDER funds
ERDF
Universitat de València
Subject
Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction
Reference40 articles.
1. (2014). Acoustics—Soundscape—Part 1: Definition and Conceptual Framework (Standard No. ISO 12913-1:2014).
2. (2018). Acoustics—Soundscape—Part 2: Data Collection and Reporting Requirements (Standard No. ISO 12913-2:2018).
3. ISO/TS 12913-2:2018—Soundscape—Part 2: Data collection and reporting requirements—What’s it all about?;Dunbavin;Acoust. Bull.,2018
4. Enabling Real-Time Computation of Psycho-Acoustic Parameters in Acoustic Sensors Using Convolutional Neural Networks;Cobos;IEEE Sens. J.,2020
5. Montoya-Belmonte, J., and Navarro, J.M. (2020). Long-Term Temporal Analysis of Psychoacoustic Parameters of the Acoustic Environment in a University Campus Using a Wireless Acoustic Sensor Network. Sustainability, 12.